HyperAI
الرئيسيةالأخبارأحدث الأوراق البحثيةالدروسمجموعات البياناتالموسوعةSOTAنماذج LLMلوحة الأداء GPUالفعاليات
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حول
HyperAI

Multi Object Tracking And Segmentation On 3

المقاييس

mMOTSA

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج
mMOTSA
Paper TitleRepository
QDTrack-mots-fix23.5Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
SortIoU10.3Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
MaskTrackRCNN12.3Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
PCAN27.4Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
QDTrack-mots22.5Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
STEm-Seg12.2Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
UNINEXT-H35.7Universal Instance Perception as Object Discovery and Retrieval
Unicorn29.6Towards Grand Unification of Object Tracking
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